opencv3.2 环境下实现 SURF算法：错误调试

环境：opencv3.2+VS2015 Debug X64 实现SURF算法

代码来自网上，并未修改，知识为了将其调通，遇见错误：

严重性代码说明项目文件行禁止显示状态
错误 LNK2019 无法解析的外部符号 "public: static struct cv::Ptr<class cv::xfeatures2d::SURF> __cdecl cv::xfeatures2d::SURF::create(double,int,int,bool,bool)" (?create@SURF@xfeatures2d@cv@@SA?AU?$Ptr@VSURF@xfeatures2d@cv@@@3@NHH_N0@Z)，该符号在函数 main 中被引用 SURF_Algorithm D:workprojectSURF_AlgorithmSURF_AlgorithmSURF.obj 1

原因是lib文件没有引入

opencv_xfeatures2d320d.lib
opencv_features2d320d.lib

源码：

 1 #include <opencv2/opencv.hpp>  
 2 #include <opencv2/xfeatures2d.hpp>  
 3 #include <opencv2/xfeatures2d/nonfree.hpp>  
 4 #include <iostream> 
 5 
 6 #include<iostream>
 7 using namespace std;
 8 using namespace cv;
 9 using namespace cv::xfeatures2d;
10 int main()
11 {
12     Mat srcImage1 = imread("D://1.jpg", 1);
13     Mat srcImage2 = imread("D://1.jpg", 1);
14     if (!srcImage1.data || !srcImage2.data)
15     {
16         cout << "读取图片出错" << endl;
17         return false;
18     }
19 
20     imshow("原始图1", srcImage1);
21     imshow("原始图2", srcImage2);
22 
23     int minHessian = 100;
24     Ptr<SurfFeatureDetector> detector = SurfFeatureDetector::create(minHessian);
25 
26     vector<cv::KeyPoint> key_points_1, key_points_2;
27 
28     Mat dstImage1, dstImage2;
29     detector->detectAndCompute(srcImage1, Mat(), key_points_1, dstImage1);
30     detector->detectAndCompute(srcImage2, Mat(), key_points_2, dstImage2);//可以分成detect和compute
31 
32     Mat img_keypoints_1, img_keypoints_2;
33     drawKeypoints(srcImage1, key_points_1, img_keypoints_1, Scalar::all(-1), DrawMatchesFlags::DEFAULT);
34     drawKeypoints(srcImage2, key_points_2, img_keypoints_2, Scalar::all(-1), DrawMatchesFlags::DEFAULT);
35 
36     Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create("FlannBased");
37     vector<DMatch>mach;
38 
39     matcher->match(dstImage1, dstImage2, mach);
40     double Max_dist = 0;
41     double Min_dist = 100;
42     for (int i = 0; i < dstImage1.rows; i++)
43     {
44         double dist = mach[i].distance;
45         if (dist < Min_dist)Min_dist = dist;
46         if (dist > Max_dist)Max_dist = dist;
47     }
48     cout << "最短距离" << Min_dist << endl;
49     cout << "最长距离" << Max_dist << endl;
50 
51     vector<DMatch>goodmaches;
52     for (int i = 0; i < dstImage1.rows; i++)
53     {
54         if (mach[i].distance < 2 * Min_dist)
55             goodmaches.push_back(mach[i]);
56     }
57     Mat img_maches;
58     drawMatches(srcImage1, key_points_1, srcImage2, key_points_2, goodmaches, img_maches);
59 
60     for (int i = 0; i < goodmaches.size(); i++)
61     {
62         cout << "符合条件的匹配：" << goodmaches[i].queryIdx << "--" << goodmaches[i].trainIdx << endl;
63     }
64     imshow("效果图1", img_keypoints_1);
65     imshow("效果图2", img_keypoints_2);
66     imshow("匹配效果", img_maches);
67 
68     waitKey(0);
69     return 0;
70 }

效果图

环境图像：

opencv文件夹下相关文件的修改：

以上添加的文件均为cmake后获取得到。